Error
Error Code: 5152

SAP S/4HANA Error 5152: Read Past End of Stream

📦 SAP S/4HANA
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Description

This error indicates that an application or process attempted to read data beyond the available end of a data stream or file. It typically occurs when data processing logic expects more data than is present or encounters an unexpected end-of-file condition during a read operation within SAP S/4HANA.
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Error Message

ERR_TEXT_COMMON_READ_PAST_END_OF_STREAM
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Known Causes

4 known causes
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Incomplete Data Transfer
Data being processed was truncated or corrupted during transfer, leading to an unexpected end-of-stream condition.
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Incorrect File Handling
The application logic attempted to read from a file or data source that was empty, partially written, or prematurely closed.
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Mismatched Data Structure
The program expected a certain amount or format of data, but the actual input stream contained less data than anticipated.
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Concurrent Access Issues
Another process modified or truncated the data stream while it was being read by the current SAP S/4HANA operation.
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Solutions

3 solutions available

1. Investigate and Correct Data Handling in ABAP Programs medium

This error often stems from ABAP programs attempting to read beyond the allocated buffer or data stream, typically due to incorrect loop conditions or data fetching logic.

1
Identify the ABAP program and transaction code that is triggering the error. This can usually be found in the ST22 dump or SM21 log.
2
Analyze the ABAP code for data retrieval statements (e.g., `SELECT`, `LOOP AT itab`). Pay close attention to how internal tables are populated and processed.
3
Verify that loops are correctly terminated. Ensure that the condition for exiting a loop is met and that there are no attempts to access non-existent table entries (e.g., `READ TABLE itab INDEX sy-tabix + 1` when `sy-tabix` is the last index).
ABAP
IF sy-tabix < lines( internal_table ).
  " Process next record
ELSE.
  " Handle end of table gracefully
ENDIF.
4
Check for scenarios where data might be unexpectedly truncated or incomplete, leading to premature end-of-stream conditions. This could involve external interfaces or data loading processes.
5
If the issue is with a standard SAP program, check SAP Notes for known issues and corrections related to error 5152. Apply relevant patches or support packages.
6
Test the corrected ABAP program thoroughly in a development or quality assurance environment before deploying to production.

2. Review and Optimize Database Interface Performance medium

Performance bottlenecks or inefficient database queries can sometimes lead to the database driver or S/4HANA kernel attempting to read past the available data, especially during high load.

1
Utilize SAP's performance analysis tools like ST05 (SQL Trace) and ST12 (Single Transaction Analysis) to capture database activity for the problematic transaction.
2
Examine the SQL traces for any long-running or inefficient queries that might be contributing to the error. Look for full table scans on large tables or complex joins.
3
Consider adding or optimizing database indexes for tables frequently accessed by the problematic transaction. This can significantly improve query performance.
SQL
-- Example: Add an index to a table
CREATE INDEX idx_my_table_column ON my_table (column_name);
4
If the issue is related to SAP HANA, use tools like the HANA Studio or Cockpit to analyze query plans and identify potential performance improvements. Look for opportunities to rewrite queries or leverage HANA-specific features.
5
Ensure that the database statistics are up-to-date. Outdated statistics can lead the query optimizer to make poor decisions, impacting performance.
6
Monitor system resources (CPU, memory, I/O) during peak usage to identify any resource constraints that might be exacerbating the problem.

3. Verify Data Integrity and Consistency in Underlying Data Sources advanced

Corrupted or inconsistent data in the underlying database tables can cause the S/4HANA application to encounter unexpected data structures, leading to read errors.

1
Identify the specific tables or data objects involved in the transaction that produces the error. This information can often be found in the ST22 dump.
2
Perform database integrity checks on the affected tables. For SAP HANA, this might involve using `M_TABLES` and `M_COLUMNS` views to check for inconsistencies or missing data.
SQL
-- Example: Check row counts for consistency
SELECT table_name, row_count FROM M_TABLES WHERE schema_name = 'SAP<SID>';

-- For specific column checks, you might need to query individual tables.
3
If the error is related to data loaded from external systems, review the data loading process and ensure that all data is transferred correctly and without truncation.
4
In cases of suspected data corruption, consider restoring from a known good backup for the affected tables or the entire database as a last resort. This requires careful planning and downtime.
5
If custom data objects are involved, ensure that their schemas and data adhere to expected formats and constraints. Any deviation can lead to unexpected behavior.
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